单轴并联混合动力商用车整车总质量在线估计算法

Translated title of the contribution: An Online Mass Estimation Algorithm for Single-shaft Parallel Hybrid Commercial Vehicle

Cheng Mei, Jianxin Peng*, Yuhui Hu

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

2 Citations (Scopus)

Abstract

It is difficult for the automatic transmission controller of hybrid commercial vehicle to measure the total mass to optimize the shifting. An online mass estimation algorithm is proposed for the single-shaft parallel hybrid commercial vehicle. The parameter characteristics of vehicle's total mass during driving is analyzed, based on which the boundary conditions are set. A vehicle longitudinal dynamics model is established, and the working conditions of P2 hybrid system are studied. On this basis, the extended Kalman filter (EKF) algorithm is used to estimate the vehicle's total mass online. Cruise/Simulink co-simulation is realized by combining the vehicle model built in Cruise and the controller strategy model built in Simulink. Simulation tests and real vehicle tests were carried out. The test results show that the proposed algorithm can effectively identify the total mass of vehicle which satisfies the vehicle control requirements.

Translated title of the contributionAn Online Mass Estimation Algorithm for Single-shaft Parallel Hybrid Commercial Vehicle
Original languageChinese (Traditional)
Pages (from-to)1838-1846
Number of pages9
JournalBinggong Xuebao/Acta Armamentarii
Volume42
Issue number9
DOIs
Publication statusPublished - Sept 2021

Fingerprint

Dive into the research topics of 'An Online Mass Estimation Algorithm for Single-shaft Parallel Hybrid Commercial Vehicle'. Together they form a unique fingerprint.

Cite this